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» Genetic Algorithms for Dynamic Test Data Generation
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TSE
2010
197views more  TSE 2010»
13 years 2 months ago
A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
Vahid Garousi
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 1 months ago
A multi-objective approach to search-based test data generation
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
Kiran Lakhotia, Mark Harman, Phil McMinn
ITC
1994
IEEE
136views Hardware» more  ITC 1994»
13 years 11 months ago
An Automatic Test Pattern Generator for Large Sequential Circuits Based on Genetic Algorithms
Paolo Prinetto, Maurizio Rebaudengo, Matteo Sonza ...
GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
Stefan Wappler, Joachim Wegener
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
14 years 1 months ago
An Enhanced Genetic Algorithm for DNA Sequencing by Hybridization with Positive and Negative Errors
Abstract. This paper describes a genetic algorithm for the DNA sequencing problem. The algorithm allows the input spectrum to contain both positive and negative errors as could be ...
Thang Nguyen Bui, Waleed A. Youssef